This notebook contains a set of analyses for analyzing thekinkajou’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
thekinkajou | training | published before 2020 | 45 | 6 |
thekinkajou | validation | published 2020 | 0 | 0 |
thekinkajou | test | published after 2020 | 4 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
thekinkajou | Alderac Entertainment Group | 11.1% | 0.7% | 15.14 |
thekinkajou | Race | 8.9% | 1.0% | 8.96 |
thekinkajou | Artist Dennis Lohausen | 4.4% | 0.5% | 8.96 |
thekinkajou | Eaglegryphon Games | 6.7% | 0.8% | 8.78 |
thekinkajou | Artist Harald Lieske | 4.4% | 0.6% | 7.84 |
thekinkajou | Variable Setup | 11.1% | 1.4% | 7.81 |
thekinkajou | Artist Claus Stephan | 4.4% | 0.6% | 7.20 |
thekinkajou | Pegasus Spiele | 15.6% | 2.2% | 7.07 |
thekinkajou | Asmodee | 15.6% | 2.6% | 5.95 |
thekinkajou | Mayfair Games | 6.7% | 1.1% | 5.93 |
thekinkajou | Combinatorial | 8.9% | 1.6% | 5.44 |
thekinkajou | Games With Solitaire Rules | 22.2% | 5.2% | 4.26 |
thekinkajou | Negotiation | 11.1% | 3.2% | 3.51 |
thekinkajou | Deduction Game | 17.8% | 5.1% | 3.48 |
thekinkajou | Open Drafting | 24.4% | 8.4% | 2.93 |
thekinkajou | Card Game | 60.0% | 29.4% | 2.04 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2019 | 286096 | Tapestry | 0.812 | no |
2 | 2013 | 143693 | Glass Road | 0.542 | no |
3 | 2019 | 285984 | Last Bastion | 0.392 | no |
4 | 2017 | 220308 | Gaia Project | 0.385 | no |
5 | 2016 | 169786 | Scythe | 0.339 | no |
6 | 2007 | 30932 | Lascaux | 0.234 | no |
7 | 2014 | 148949 | Istanbul | 0.190 | no |
8 | 2009 | 42490 | Pony Express | 0.158 | no |
9 | 2010 | 68448 | 7 Wonders | 0.155 | no |
10 | 2010 | 65907 | Mystery Express | 0.142 | no |
11 | 2016 | 192777 | Junta: Las Cartas | 0.133 | no |
12 | 2007 | 33088 | Chabyrinthe | 0.124 | no |
13 | 2015 | 180231 | OctoDice | 0.114 | no |
14 | 1980 | 41 | Can't Stop | 0.109 | no |
15 | 2012 | 129622 | Love Letter | 0.102 | no |
16 | 2011 | 100423 | Elder Sign | 0.101 | no |
17 | 2009 | 40834 | Dominion: Intrigue | 0.099 | no |
18 | 2007 | 27710 | Catan Dice Game | 0.094 | no |
19 | 2014 | 160018 | Smash Up: Monster Smash | 0.092 | no |
20 | 2017 | 216658 | Smash Up: What Were We Thinking? | 0.092 | no |
21 | 2012 | 120677 | Terra Mystica | 0.087 | no |
22 | 2016 | 193212 | Chariot Race | 0.086 | no |
23 | 2006 | 21654 | Iliad | 0.080 | no |
24 | 2011 | 70919 | Takenoko | 0.079 | no |
25 | 2013 | 134453 | The Little Prince: Make Me a Planet | 0.078 | no |
26 | 2016 | 197065 | Valley of the Kings: Last Rites | 0.076 | no |
27 | 2012 | 72132 | Dragon Rampage | 0.075 | no |
28 | 2015 | 183394 | Viticulture Essential Edition | 0.073 | no |
29 | 2012 | 116998 | Thunderstone Advance: Towers of Ruin | 0.073 | no |
30 | 2014 | 150999 | Valley of the Kings | 0.070 | no |
31 | 2009 | 43578 | Monster Chase | 0.070 | no |
32 | 2016 | 198487 | Smash Up: Cease and Desist | 0.068 | no |
33 | 2015 | 173319 | Lost Legacy: Second Chronicle – Vorpal Sword & Whitegold Spire | 0.066 | no |
34 | 1998 | 503 | Through the Desert | 0.065 | no |
35 | 2016 | 193558 | The Oracle of Delphi | 0.065 | no |
36 | 2012 | 125605 | I'm the Boss!: The Card Game | 0.064 | no |
37 | 2008 | 37380 | Roll Through the Ages: The Bronze Age | 0.063 | no |
38 | 2018 | 257499 | Arkham Horror (Third Edition) | 0.059 | no |
39 | 2004 | 12281 | Versailles | 0.059 | no |
40 | 2011 | 85897 | Thunderstone: Dragonspire | 0.057 | no |
41 | 2017 | 227110 | Dungeon of Mandom VIII | 0.056 | no |
42 | 2011 | 103807 | Dojo | 0.056 | no |
43 | 2013 | 127024 | Room 25 | 0.056 | no |
44 | 2007 | 32114 | Merchants | 0.055 | no |
45 | 1991 | 2179 | Musketeers | 0.054 | no |
46 | 2015 | 173346 | 7 Wonders Duel | 0.054 | yes |
47 | 2017 | 198740 | Lovecraft Letter | 0.054 | no |
48 | 2019 | 276025 | Maracaibo | 0.053 | no |
49 | 2016 | 195043 | Welcome Back to the Dungeon | 0.052 | no |
50 | 2014 | 159675 | Fields of Arle | 0.051 | no |
51 | 2011 | 88408 | Nightfall | 0.050 | no |
52 | 2015 | 169611 | Love Letter: The Hobbit – The Battle of the Five Armies | 0.050 | no |
53 | 2010 | 70916 | Rockband Manager | 0.048 | no |
54 | 2016 | 198522 | Archer: Once You Go Blackmail... | 0.048 | no |
55 | 2014 | 152765 | Thunderstone Advance: Worlds Collide | 0.047 | no |
56 | 2019 | 189453 | Victorian Masterminds | 0.046 | no |
57 | 2016 | 200680 | Agricola (Revised Edition) | 0.046 | no |
58 | 2009 | 40629 | Bakong | 0.046 | no |
59 | 1978 | 242 | Junta | 0.045 | no |
60 | 2017 | 197376 | Charterstone | 0.044 | no |
61 | 2008 | 41636 | Abandon Ship | 0.044 | no |
62 | 2016 | 192860 | Oceanos | 0.043 | no |
63 | 2013 | 97903 | Terror in Meeple City | 0.041 | no |
64 | 2019 | 264055 | Draftosaurus | 0.041 | no |
65 | 2017 | 226320 | My Little Scythe | 0.041 | no |
66 | 2015 | 155731 | Tokaido Collector's Edition | 0.040 | no |
67 | 2012 | 135116 | Rent a Hero | 0.038 | no |
68 | 2014 | 158900 | Samurai Spirit | 0.037 | no |
69 | 2015 | 176816 | The Little Prince: Rising to the Stars | 0.037 | no |
70 | 2019 | 270269 | Ninja Academy | 0.037 | no |
71 | 2018 | 242302 | Space Base | 0.037 | no |
72 | 2015 | 175090 | Game of Crowns | 0.037 | no |
73 | 2015 | 169255 | A Game of Thrones: The Card Game (Second Edition) | 0.037 | no |
74 | 2019 | 229491 | Edge of Darkness | 0.037 | no |
75 | 2014 | 158340 | Lost Legacy: Flying Garden | 0.037 | no |
76 | 2015 | 175222 | Lost Legacy: Third Chronicle – Sacred Grail & Staff of Dragons | 0.037 | no |
77 | 2018 | 258036 | Between Two Castles of Mad King Ludwig | 0.036 | no |
78 | 2019 | 265736 | Tiny Towns | 0.036 | yes |
79 | 2017 | 215312 | Stop Thief! | 0.036 | no |
80 | 2009 | 45134 | Arcana | 0.036 | no |
81 | 2012 | 122271 | Defenders of the Realm: Battlefields | 0.036 | no |
82 | 2014 | 159508 | AquaSphere | 0.035 | no |
83 | 2009 | 43264 | Pocket Rockets | 0.035 | no |
84 | 2008 | 38504 | Hurry'Cup! | 0.034 | no |
85 | 2017 | 181254 | Attack on Titan: The Last Stand | 0.034 | no |
86 | 2015 | 179572 | Dice City | 0.034 | no |
87 | 2013 | 134726 | Smash Up: Awesome Level 9000 | 0.034 | no |
88 | 1992 | 464 | Billabong | 0.034 | no |
89 | 1964 | 5 | Acquire | 0.033 | no |
90 | 2015 | 175307 | Love Letter: Adventure Time | 0.033 | no |
91 | 2016 | 160010 | Conan | 0.033 | no |
92 | 2016 | 177802 | Smash Up: It's Your Fault! | 0.033 | no |
93 | 1992 | 118 | Modern Art | 0.033 | no |
94 | 2013 | 142121 | Guildhall: Job Faire | 0.033 | no |
95 | 2008 | 37615 | Looting London | 0.033 | no |
96 | 2015 | 182874 | Grand Austria Hotel | 0.033 | no |
97 | 2015 | 184207 | Het Koninkrijk Dominion | 0.033 | no |
98 | 2010 | 66125 | Le Donjon de Naheulbeuk | 0.032 | no |
99 | 2008 | 29581 | Tomb | 0.032 | no |
100 | 2013 | 143185 | Smash Up: The Obligatory Cthulhu Set | 0.032 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.81 |
Decision Tree | roc_auc | binary | 0.59 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think thekinkajou is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2019 | 286096 | Tapestry | 0.812 | no |
2013 | 143693 | Glass Road | 0.542 | no |
2019 | 285984 | Last Bastion | 0.392 | no |
2017 | 220308 | Gaia Project | 0.385 | no |
2016 | 169786 | Scythe | 0.339 | no |
What games does the model think thekinkajou is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2012 | 63628 | The Manhattan Project | 0.001 | yes |
2017 | 200057 | Pioneer Days | 0.001 | yes |
2017 | 226213 | Cursed Court | 0.001 | yes |
2018 | 255615 | GoodCritters | 0.001 | yes |
2019 | 282391 | Stockpile: Epic Edition | 0.001 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Love Letter | Glass Road | Istanbul | OctoDice | Scythe | Gaia Project | Arkham Horror (Third Edition) | Tapestry |
2 | Terra Mystica | The Little Prince: Make Me a Planet | Smash Up: Monster Smash | Viticulture Essential Edition | Junta: Las Cartas | Smash Up: What Were We Thinking? | Space Base | Last Bastion |
3 | Dragon Rampage | Room 25 | Valley of the Kings | Lost Legacy: Second Chronicle – Vorpal Sword & Whitegold Spire | Chariot Race | Dungeon of Mandom VIII | Between Two Castles of Mad King Ludwig | Maracaibo |
4 | Thunderstone Advance: Towers of Ruin | Terror in Meeple City | Fields of Arle | 7 Wonders Duel | Valley of the Kings: Last Rites | Lovecraft Letter | Shadows: Amsterdam | Victorian Masterminds |
5 | I'm the Boss!: The Card Game | Smash Up: Awesome Level 9000 | Thunderstone Advance: Worlds Collide | Love Letter: The Hobbit – The Battle of the Five Armies | Smash Up: Cease and Desist | Charterstone | Smash Up: That '70s Expansion | Draftosaurus |
6 | Rent a Hero | Guildhall: Job Faire | Samurai Spirit | Tokaido Collector's Edition | The Oracle of Delphi | My Little Scythe | Dinosaur Tea Party | Edge of Darkness |
7 | Defenders of the Realm: Battlefields | Smash Up: The Obligatory Cthulhu Set | Lost Legacy: Flying Garden | Game of Crowns | Welcome Back to the Dungeon | Stop Thief! | Book of Dragons | Ninja Academy |
8 | Serenissima (Second Edition) | Thunderstone Advance: Numenera | AquaSphere | The Little Prince: Rising to the Stars | Archer: Once You Go Blackmail... | Attack on Titan: The Last Stand | Everdell | Tiny Towns |
9 | Robinson Crusoe: Adventures on the Cursed Island | Thunderstone: Starter Set | Run, Fight, or Die! | A Game of Thrones: The Card Game (Second Edition) | Agricola (Revised Edition) | Shark Island | Walking in Burano | Unmatched: Robin Hood vs. Bigfoot |
10 | Qin | Empire Engine | Cypher | Lost Legacy: Third Chronicle – Sacred Grail & Staff of Dragons | Oceanos | Fate of the Elder Gods | Cosmic Encounter: 42nd Anniversary Edition | Teenage Mutant Ninja Turtles: Turtle Power Card Game |
11 | Trains | Caverna: The Cave Farmers | Five Tribes | Dice City | Conan | Cutthroat Kingdoms | Newton | Carnival of Monsters |
12 | Smash Up | Impulse | Who Stole the Cookie? | Grand Austria Hotel | Smash Up: It's Your Fault! | Pandemic Legacy: Season 2 | Smash Up: Oops, You Did It Again | Smash Up: World Tour – Culture Shock |
13 | Open Sesame | Euphoria: Build a Better Dystopia | Imperial Settlers | Love Letter: Adventure Time | Arkham Horror: The Card Game | Smash Up: Big in Japan | Rising Sun | Aftermath |
14 | Tokaido | Rococo | The Captain Is Dead | Het Koninkrijk Dominion | Inis | Paku Paku | Greedy Kingdoms | Era: Medieval Age |
15 | Nightfall: The Coldest War | Viticulture | 1944: Race to the Rhine | Epic PVP: Fantasy | Legends of the American Frontier | Axio | Batman: The Animated Series – Gotham City Under Siege | The Magnificent |
16 | Courtier | Cappuccino | Trains: Rising Sun | Smash Up: Munchkin | Terraforming Mars | Cat Lady | Thunderstone Quest | Cthulhu: Death May Die |
17 | The Great Zimbabwe | Ace Detective | Sheriff of Nottingham | Dale of Merchants | Lost Legacy: Fourth Chronicle – The Werewolf & Undying Heart | Indian Summer | Scorpius Freighter | Conspiracy: The Solomon Gambit |
18 | Express 01 | Nightfall: Eastern Skies | Doomtown: Reloaded | Love Letter: Batman | Aeon's End | The Ruhr: A Story of Coal Trade | War Chest | Yukon Airways |
19 | Say Bye to the Villains | Francis Drake | Port Royal | Rumpelstiltskin | Coal Baron: The Great Card Game | Chimera & More | Duelosaur Island | Tuki |
20 | Trainmaker | Legacy: The Testament of Duke de Crecy | Onirim (Second Edition) | Baseball Highlights: 2045 | Ravenous River | Rajas of the Ganges | Root | Marvel Champions: The Card Game |
21 | Bee Alert | Maximum Throwdown | Ultimate Werewolf | Zaginione Dziedzictwo: Gwiezdne Ostrze | The Colonists | Tybor the Builder | Lords of Hellas | Chai |
22 | Divinare | Salmon Run | Till Dawn | Smash Up: Pretty Pretty Smash Up | Flamme Rouge | Sagrada | New Frontiers | Lux Aeterna |
23 | Cavemen: The Quest for Fire | Mush! Mush!: Snow Tails 2 | Alien Uprising | Why First? | Yeti | Gloomhaven | WARIGIN | Fast Sloths |
24 | Kairo | Race! Formula 90 | Patchwork | C'est mon Fort! | Camel Up Cards | Twilight Imperium: Fourth Edition | Blue Lagoon | Axio Rota |
25 | Agricola: All Creatures Big and Small | Ascension: Rise of Vigil | Eggs and Empires | Mombasa | Agricola: Family Edition | Finished! | Cosmic Run: Regeneration | Ragusa |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
thekinkajou | owned | validation | Decision Tree | roc_auc | |
thekinkajou | owned | validation | GLM | roc_auc |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 316377 | 7 Wonders (Second Edition) | 0.112 | no |
2020 | 302417 | Mia London and the Case of the 625 Scoundrels | 0.046 | no |
2020 | 293309 | Kraken Attack! | 0.045 | no |
2020 | 300877 | New York Zoo | 0.041 | no |
2020 | 283155 | Calico | 0.026 | no |
2020 | 312804 | Pendulum | 0.026 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.022 | no |
2020 | 184267 | On Mars | 0.021 | no |
2020 | 256317 | Guild Master | 0.017 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.016 | no |
2020 | 298060 | Truffle Shuffle | 0.014 | no |
2020 | 306687 | Get Out of Colditz: The Card Game | 0.014 | no |
2020 | 311193 | Anno 1800 | 0.013 | no |
2020 | 297978 | Mariposas | 0.012 | no |
2020 | 297486 | Ride the Rails | 0.011 | no |
2020 | 245224 | La Belle Époque | 0.011 | no |
2020 | 318553 | Rajas of the Ganges: The Dice Charmers | 0.011 | no |
2020 | 300001 | Renature | 0.010 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.010 | no |
2020 | 298065 | Santa Monica | 0.010 | no |
2020 | 308416 | Tapeworm | 0.010 | no |
2020 | 304420 | Bonfire | 0.010 | no |
2020 | 274234 | 18 Holes | 0.010 | no |
2020 | 319966 | The King Is Dead: Second Edition | 0.010 | no |
2020 | 313698 | Monster Expedition | 0.010 | no |
2020 | 294232 | Stolen Paintings | 0.009 | no |
2020 | 306735 | Under Falling Skies | 0.009 | no |
2020 | 310846 | Urgency | 0.009 | no |
2020 | 315631 | Santorini: New York | 0.008 | no |
2020 | 293296 | Splendor: Marvel | 0.008 | no |
2020 | 316554 | Dune: Imperium | 0.008 | no |
2020 | 325555 | Cantaloop: Book 1 – Breaking into Prison | 0.008 | no |
2020 | 320505 | Mattock | 0.008 | no |
2020 | 317105 | Tiny Epic Galaxies BLAST OFF! | 0.008 | no |
2020 | 245658 | Unicorn Fever | 0.008 | no |
2020 | 299179 | Chancellorsville 1863 | 0.008 | no |
2020 | 298018 | Memorinth | 0.008 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.008 | no |
2020 | 256589 | Rallyman: GT | 0.008 | no |
2020 | 304285 | Infinity Gauntlet: A Love Letter Game | 0.007 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.007 | no |
2020 | 293728 | Inner Compass | 0.007 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.007 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.007 | no |
2020 | 274450 | Last Aurora | 0.007 | no |
2020 | 311751 | I Am Death Now? | 0.007 | no |
2020 | 296100 | Rococo: Deluxe Edition | 0.007 | no |
2020 | 294235 | Crime Zoom: His Last Card | 0.007 | no |
2020 | 321305 | Crime Zoom: Bird of Ill Omen | 0.007 | no |
2020 | 321306 | Crime Zoom: A Deadly Writer | 0.007 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Published | ID | Name | Pr(Owned) | Owned |
2021 | 324242 | Sheepy Time | 0.136 | no |
2021 | 298069 | Cubitos | 0.103 | no |
2022 | 331106 | The Witcher: Old World | 0.060 | no |
2021 | 329465 | Red Rising | 0.050 | no |
2021 | 320136 | Naruto: Ninja Arena | 0.037 | no |
2022 | 275284 | Arkeis | 0.034 | no |
2021 | 293835 | Oltréé | 0.031 | no |
2021 | 346703 | 7 Wonders: Architects | 0.030 | no |
2021 | 291859 | Riftforce | 0.029 | no |
2022 | 275215 | Namiji | 0.028 | no |
2021 | 342073 | Berried Treasure | 0.027 | no |
2022 | 310873 | Carnegie | 0.027 | no |
2022 | 356033 | Libertalia: Winds of Galecrest | 0.025 | no |
2022 | 347703 | First Rat | 0.024 | no |
2021 | 344277 | Corrosion | 0.022 | no |
2021 | 305682 | Rolling Realms | 0.021 | no |
2021 | 295947 | Cascadia | 0.020 | no |
2021 | 339789 | Welcome to the Moon | 0.015 | no |
2021 | 342942 | Ark Nova | 0.015 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.015 | no |
2021 | 306697 | Smash Up: Marvel | 0.015 | no |
2022 | 344839 | Dog Lover | 0.015 | no |
2021 | 315937 | X-Men: Mutant Insurrection | 0.015 | no |
2022 | 344268 | The Mother Road: Route 66 | 0.013 | no |
2021 | 343905 | Boonlake | 0.013 | no |
2021 | 337787 | Summer Camp | 0.013 | no |
2021 | 328479 | Living Forest | 0.012 | no |
2021 | 318996 | Welcome to Sysifus Corp | 0.012 | no |
2021 | 335609 | TEN | 0.012 | no |
2021 | 320960 | Roll In One | 0.012 | no |
2021 | 339906 | The Hunger | 0.011 | no |
2021 | 286667 | Tutankhamun | 0.011 | no |
2021 | 305761 | Whale Riders | 0.011 | no |
2021 | 343847 | Dustbiters | 0.011 | no |
2021 | 308989 | Bristol 1350 | 0.011 | no |
2023 | 312959 | Rallyman: DIRT | 0.011 | no |
2022 | 276182 | Dead Reckoning | 0.010 | no |
2022 | 311731 | Freedom Five: A Sentinel Comics Board Game | 0.010 | no |
2021 | 283387 | Rocketmen | 0.010 | no |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.010 | no |
2021 | 347521 | Blitzkrieg!: World War Two in 20 Minutes | 0.010 | no |
2021 | 348461 | Castle Break | 0.010 | no |
2021 | 300664 | Arkwright: The Card Game | 0.010 | no |
2021 | 290236 | Canvas | 0.009 | no |
2021 | 263222 | Shards of the Jaguar | 0.009 | no |
2021 | 304324 | Dive | 0.008 | no |
2021 | 331635 | Kameloot | 0.008 | no |
2021 | 345976 | System Gateway (fan expansion for Android: Netrunner) | 0.008 | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.008 | yes |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.008 | no |
2021 | 339484 | Savannah Park | 0.008 | no |
2021 | 313841 | Lunar Base | 0.008 | no |
2021 | 340237 | Wonder Book | 0.008 | no |
2021 | 299255 | Vienna Connection | 0.008 | no |
2021 | 313730 | Harsh Shadows | 0.008 | no |
2022 | 251661 | Oathsworn: Into the Deepwood | 0.008 | no |
2021 | 331685 | Hit the Silk! | 0.007 | no |
2023 | 298086 | The Fog: Escape from Paradise | 0.007 | no |
2021 | 334782 | Bayou Bash | 0.007 | no |
2021 | 318709 | For Sale Autorama | 0.007 | no |
2021 | 335275 | Whirling Witchcraft | 0.007 | no |
2022 | 336851 | Meeples & Monsters | 0.007 | no |
2021 | 344408 | Full Throttle! | 0.007 | no |
2021 | 342246 | Feuding Foodies | 0.007 | no |
2021 | 331126 | Scrap Racer | 0.007 | no |
2021 | 331155 | Sriracha | 0.007 | no |
2021 | 326804 | Rorschach | 0.007 | no |
2021 | 319899 | Decktective: Nightmare in the Mirror | 0.007 | no |
2021 | 265771 | Dance Card! | 0.007 | no |
2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.007 | no |
2021 | 329962 | Cantaloop: Book 2 – A Hack of a Plan | 0.007 | no |
2022 | 341945 | La Granja: Deluxe Master Set | 0.007 | no |
2021 | 295785 | Euthia: Torment of Resurrection | 0.007 | no |
2021 | 344258 | That Time You Killed Me | 0.007 | no |
2021 | 329293 | Loading | 0.007 | no |
2021 | 316287 | Quest | 0.007 | no |
2021 | 329450 | Equinox | 0.006 | no |
2021 | 291828 | Car Wars (Sixth Edition) | 0.006 | no |
2021 | 330036 | Great Plains | 0.006 | no |
2021 | 319792 | Fly-A-Way | 0.006 | no |
2021 | 340909 | Gloomholdin' | 0.006 | no |
2021 | 331549 | MiniQuest Adventures | 0.006 | no |
2021 | 298229 | Steampunk Rally Fusion | 0.006 | no |
2022 | 295770 | Frosthaven | 0.006 | no |
2021 | 342638 | BIOTOPIA | 0.006 | no |
2021 | 299838 | The Belgian Beers Race | 0.006 | no |
2021 | 340455 | King of the Valley | 0.006 | no |
2021 | 314491 | Meadow | 0.006 | no |
2021 | 328286 | Mission ISS | 0.006 | no |
2022 | 322524 | Bardsung | 0.006 | no |
2021 | 291847 | Mantis Falls | 0.006 | no |
2021 | 280984 | Ruins: Death Binder | 0.006 | no |
2022 | 273814 | Deliverance | 0.005 | no |
2022 | 299594 | Megapulse | 0.005 | no |
2021 | 304333 | Zoollywood | 0.005 | no |
2021 | 299684 | Khôra: Rise of an Empire | 0.005 | no |
2021 | 340466 | Unfathomable | 0.005 | no |
2022 | 317511 | Tindaya | 0.005 | no |
2021 | 310031 | Whale Riders: The Card Game | 0.005 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.005 | no |